N: 90 S: -90 E: 180 W: -180
Description
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6.1 data product provides global land cover types at yearly intervals. The MCD12Q1 Version 6.1 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. Land cover types are derived from the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), Leaf Area Index (LAI), BIOME-Biogeochemical Cycles (BGC), and Plant Functional Types (PFT) classification schemes. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes. Additional land cover property assessment layers are provided by the Food and Agriculture Organization (FAO) Land Cover Classification System (LCCS) for land cover, land use, and surface hydrology.
Layers for Land Cover Type 1-5, Land Cover Property 1-3, Land Cover Property Assessment 1-3, Land Cover Quality Control (QC), and a Land Water Mask are provided in each MCD12Q1 Version 6.1 Hierarchical Data Format 4 (HDF4) file.
Known Issues
- The "units" field is missing in the metadata, however, this information can be found in Table 1 of the User Guide.
- The MCD12Q1.061 land cover data product is derived using supervised classification of MODIS Terra and Aqua reflectance data. The classification algorithm uses labeled training samples selected globally to represent land cover categories derived under the IGBP, UMD, LAI, BIOME-BGC, and PFT classification schemes. These training samples were selected to represent land classes, best suited over a certain period. However, due to lack of funding, the science team was not able to keep the training database updated over the course of the years, and some of these training sites could well have undergone changes in their land cover characteristics, especially after 2021. Hence users are urged to maintain caution while using the V6.1/MCD12Q1 land cover layers for 2021 and beyond. More information on this known issue can be found in the Land Data Products Operational Products (LDOPE) Quality Assessment.
- Known issues are described in Section 2.2 of the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
File Naming Convention
The file name begins with the Product Short Name (MCD12Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h21v07), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025205222320), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Globally Mapping the Nitrogen Stable Isotope Ratios of Terrestrial Vegetation From 1984 to 2022 | Yang, Jinyan, Zhang, Haiyang, Guo, Yiqing, Donohue, Randall J., McVicar, Tim R., Ferrier, Simon, Muller, Warren, Lu, Xiaotao, Fang, Yunting, Wang, Xiaoguang, Reich, Peter B., Han, Xingguo, Mokany, Karel | Land Use/Land Cover Classification | |
| Greenspace mitigates the global disease and economic burdens of non-communicable diseases | Qiu, Hui-Ling, Xie, Yu-Ting, Zhou, Gang-Long, Zhu, Shi-Fu, Zhao, Tianyu, Heinrich, Joachim, Bloom, Michael S., Huang, Wen-Zhong, Lau, Sam S.S., Zhang, Yi-Dan, Li, Jia-Xin, Wang, Lu, Zhu, Xiao-Qi, Jiang, Jian-Cheng, Lin, Shao, Zou, Xiao-Guang, Li, Li, Dong, Guang-Hui, Fan, Shu-Jun, Yang, Bo-Yi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Firestorm in California: The new reality for wildland-urban interface regions | Amiri, Afshin, Gumiere, Silvio, Bonakdari, Hossein | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Extended Gap Between Snowmelt and Greenup Increases Dust Storm Occurrence | Yang, Lu, Peng, Shushi, Zhu, Dan | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Albedo, Snow Cover | |
| Fire emission abatement potential by shifting fire regimes in global savannas: a reassessment using the fifth version of the Global Fire Emissions Database (GFED5) | Vernooij, Roland, Eames, Tom, van Wees, Dave, Chen, Yang, Randerson, James T., Russell-Smith, Jeremy, Yates, Cameron, van der Werf, Guido R. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Evaluation of modeled smoke plumes of wildfires in the Argentinian | Garcia Ferreyra, Maria Fernanda, Scavuzzo, Carlos Marcelo, Otero, Lidia Ana, Curci, Gabriele | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Evaluation of the performance of multiple reanalysis forcing data in | Xie, Yuxuan, Kong, Dongdong, Zhang, Yongqiang, Zhong, Yulong, Ma, Ning, Gong, Rouyan, Ci, Hui, Xiao, Mingzhong, Gu, Xihui | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Albedo, Anisotropy, Land Use/Land Cover Classification | |
| Co-benefit of forestation on ozone air quality and carbon storage in South China | Liu, Zehui, Zhou, Mi, Li, Danyang, Song, Tao, Yue, Xu, Lu, Xiao, Zhao, Yuanhong, Zhang, Lin | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Climate change effects on submarine groundwater discharge and regional variations along the Korean Peninsula | Jung, Hahn Chul, Yoon, Yeosang | Land Use/Land Cover Classification | |
| Climate Change Is Altering Ecosystem Water Use Efficiency in | Green, Tristan, Salvucci, Guido, Friedl, Mark A. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Plant Phenology | |
| Climatic zoning and future projections of citrus black spot in Brazil: adaptive strategies for sustainable citrus farming in the face of climate change | Torsoni, Guilherme Botega, Aparecido, Lucas Eduardo de Oliveira, Baratti, Ana Claudia Costa, Rossi, Maira Ferreira de Melo, Lorencone, Pedro Antonio, Lorencone, Joao Antonio | Land Use/Land Cover Classification | |
| Cloud Mask Detection by Combining Active and Passive Remote Sensing Data | He, Chenxi, Wang, Zhitong, Lang, Qin, Feng, Lan, Zhang, Ming, Qin, Wenmin, Tao, Minghui, Wang, Yi, Wang, Lunche | Land Use/Land Cover Classification | |
| PM 2.5 reduces the daytime/nighttime urban heat island intensity over | Feng, Zihao, Wang, Xuhong, Yu, Mengqianxi, Yuan, Yimei, Li, Bingqian | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Policies that improved land conditions | Land Use/Land Cover Classification | ||
| Plant Phenology Index leveraging over conventional vegetation indices to | Marsh, Hanna, Jin, Hongxiao, Duan, Zheng, Holst, Jutta, Eklundh, Lars, Zhang, Wenxin | Land Use/Land Cover Classification | |
| Pre-Season Precipitation and Temperature Have a Larger Influence on | Zhang, Yuanyuan, Wang, Qingtao, Zhang, Xueyuan, Guo, Zecheng, Guo, Xiaonan, Ma, Changhui, Wei, Baocheng, He, Lei | Land Use/Land Cover Classification | |
| Potential for bird-insect phenological mismatch in a tri-trophic system | Belitz, Michael W., Larsen, Elise A., Hurlbert, Allen H., Di Cecco, Grace J., Neupane, Naresh, Ries, Leslie, Tingley, Morgan W., Guralnick, Robert P., Youngflesh, Casey | Land Use/Land Cover Classification | |
| Predicting suitable habitats for Asian elephant (Elephas maximus) in Tropical Asia under changing climatic scenarios | Abir, Kazi Al Muqtadir, Dey, Biplob, Redowan, Mohammad, Haque, Ashraful, Ahmed, Romel | Land Use/Land Cover Classification | |
| Process-based modeling of solar-induced chlorophyll fluorescence with | Miyauchi, Tatsuya, Saito, Makoto, Noda, Hibiki M., Ito, Akihiko, Kato, Tomomichi, Matsunaga, Tsuneo | Land Use/Land Cover Classification | |
| Precipitation leads the long-term vegetation increase in the conterminous United States drylands | Chang, Yuhe, Winkler, Alexander J, Noori, Amirhossein, Knyazikhin, Yuri, Myneni, Ranga B | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | |
| Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model | Opacka, Beata, Stavrakou, Trissevgeni, Muller, Jean-Francois, De Smedt, Isabelle, van Geffen, Jos, Marais, Eloise A., Horner, Rebekah P., Millet, Dylan B., Wells, Kelly C., Guenther, Alex B. | Land Use/Land Cover Classification | |
| Modification and Comparison of Two Urban Vegetation Models Over Southern | MadsenColford, Sabrina, Hutyra, Lucy, Smith, Ian, Wu, Dien, Arain, M. Altaf, Staebler, Ralf, Ma, William, RestrepoCoupe, Natalia, Wunch, Debra | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance, Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Anisotropy | |
| Net Primary Productivity Is Driven by Aridity Index and Phenological Phase in Forest Region of China | Cui, Qinghong, Xiao, Xiao, Hong, Zhujun, Ren, Siyuan, Wang, Bo | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Multiscale analysis of existing actual evapotranspiration products over | Etchanchu, Jordi, Demarty, Jerome, Dezetter, Alain, Farhani, Nesrine, Thiam, Pape Biteye, Allies, Aubin, Bodian, Ansoumana, Boulet, Gilles, Chahinian, Nanee, Diop, Lamine, Mainassara, Ibrahim, Ndiaye, Pape Malick, Ollivier, Chloe, Olioso, Albert, Roupsard, Olivier | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Infiltration, Soil Infiltration, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Land Use/Land Cover Classification | |
| Multifactor Spatial Downscaling of Satellite Precipitation Based on Vegetation Index and Elevation | Zeng, Zhaozhao, Peleg, Nadav, Chen, Haonan, Zhuo, Li | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Total Surface Precipitation Rate |